Participation 1: AWS Generative AI Foundations Certification

10-Week Recommended Plan

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Learning Outcomes

After completing this assignment, you should be able to:

• Summarize generative AI concepts, methods, and strategies.
• Discuss the potential business value and use cases of generative AI.
• Match AWS AI/ML services and features to generative AI use cases.
• Explain how to use foundation models.
• Discuss techniques to refine results of foundation models.
• Recognize the key elements for practicing responsible AI.
• Discuss the security, privacy, and governance considerations for AI systems.
• Describe the workflow and key considerations when developing a generative AI application.

Questions

• Each section of this assignment contains questions that you should either answer or perform in the lab. These are marked with a Knowledge Check.
• These Knowledge checks are part of the certificate requirements.
• Completing these will earn you points towards your success in the getting the certificate.

Submission Details

• Submit all deliverables and assignments on AWS Academy Canvas.
• Include a comment on blackboard submission indicating that the AWS Academy course was completed on the completion date.
• Ensure all required files are uploaded before the deadline.
• Due on Week 10 Day 6 for All sections, Please check with your instructor.

1 Recommended Lesson Schedule

This schedule follows the AWS Academy Generative AI Foundations Canvas structure and is designed to support steady progress toward certificate completion over 10 weeks.

1.1 Week 0: Course Orientation and Setup

• Tasks:

  • Complete Pre-Course Survey.
  • Review Course Welcome and Overview.
  • Explore Course Support and General Discussions.
  • Review Trends in Cloud Computing and Content Resources.
  • Read the AWS Academy Generative AI Student Guide.

• Deliverables: Pre-Course Survey completed.

1.2 Week 1: Module 1 — Welcome to AWS Academy Generative AI Foundations

• Tasks:

  • Complete Module 1.
  • Review program structure, expectations, and learning flow.
  • Read Module 1 Student Guide.

• Deliverables: Module 1 completion recorded in Canvas.

1.3 Week 2: Module 2 — Introducing AI

• Tasks:

  • Complete Module 2:

    • AI overview
    • Machine Learning, Deep Learning, and Generative AI
    • AWS AI services overview

  • Watch demos using AWS AI services.

  • Complete Module 2 Knowledge Check.

• Deliverables: Module 2 Knowledge Check.

1.4 Week 3: Module 3 — Introducing Generative AI

• Tasks:

  • Complete Module 3:

    • Foundation models
    • How foundation models work
    • Generative AI use cases

  • Explore Amazon Bedrock Playground and PartyRock.

  • Complete Module 3 Knowledge Check.

• Deliverables: Module 3 Knowledge Check.

1.5 Week 4: Module 4 — Using Prompts and Prompt Engineering

• Tasks:

  • Complete Module 4:

    • Value of prompt engineering
    • Prompt structure and organization
    • Prompting techniques

  • Complete hands-on prompt structuring activities.

  • Complete Module 4 Knowledge Check.

• Deliverables: Module 4 Knowledge Check.

1.6 Week 5: Module 5 — Working with Foundation Models (FM)

• Tasks:

  • Complete Module 5:

    • Choosing and adapting foundation models
    • Inference parameters
    • Retrieval-Augmented Generation (RAG)

  • Practice inference tuning activities.

  • Complete Module 5 Knowledge Check.

• Deliverables: Module 5 Knowledge Check.

1.7 Week 6: Module 6 — Practicing Generative AI Responsibly

• Tasks:

  • Complete Module 6:

    • Responsible AI principles
    • Safeguards and risk mitigation
    • Amazon Bedrock Guardrails

  • Review AWS responsible AI practices.

  • Complete Module 6 Knowledge Check.

• Deliverables: Module 6 Knowledge Check.

1.8 Week 7: Module 7 — Security, Governance, and Compliance

• Tasks:

  • Complete Module 7:

    • AI security concepts
    • Governance frameworks
    • Compliance considerations

  • Review AWS audit and compliance tools.

  • Complete Module 7 Knowledge Check.

• Deliverables: Module 7 Knowledge Check.

1.9 Week 8: Module 8 — Implementing Generative AI Applications

• Tasks:

  • Complete Module 8:

    • Generative AI application lifecycle
    • Matching AWS services to use cases
    • Implementing applications using Amazon Bedrock

  • Complete Module 8 Knowledge Check.

• Deliverables: Module 8 Knowledge Check.

1.10 Week 9: Module 9 — Bridging to Certification

• Tasks:

  • Review all prior modules.
  • Revisit weak areas using Student Guides.
  • Prepare for final assessment.

• Deliverables: Readiness for final assessment.

1.11 Week 10: Course Completion and Certification

• Tasks:

  • Complete Final Course Assessment.
  • Submit End of Course Feedback Survey.
  • Claim AWS Academy Generative AI Foundations Badge.

• Deliverables: Badge claimed and visible in AWS Academy.